Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E83AB34E1108A2304C792C8DBF3633E51A5D715CE230D9EB7F8836A6B9FD98DB26525 |
|
CONTENT
ssdeep
|
1536:7sIxOAZZRa+iY7lAEvfEAOoT6qg+3Oi09GnnRylwieO3jGWQZ+bC07x:7zaso6v8bC07x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c897274b0cf66f8 |
|
VISUAL
aHash
|
c67f393c1c007800 |
|
VISUAL
dHash
|
1cf2e3e2b0e0e135 |
|
VISUAL
wHash
|
ce7f313e3e00fd00 |
|
VISUAL
colorHash
|
31006000000 |
|
VISUAL
cropResistant
|
1cf2e3e2b0e0e135 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 43 techniques to evade detection by security scanners and make reverse engineering more difficult.